Preprints/Working Papers

• Tian, X., Gibberd, A., Nunes, M. & Roy, S. (2026). A low-rank pre-smoothed vector autoregressive model for neurological applications. In Preparation.

• Tian, X., Nunes, M., Dupont, E., Downing, S., Lichtenstein, F. & Burns, M. (2025). Using wavelet domain fingerprints to improve source camera identification. ArXiv Preprint. [ArXiv]

Journal/Conference Papers

• Tian, X., Gibberd, A., Nunes, M., & Roy, S. (2026). Large multi-response linear regression estimation based on low-rank pre-smoothing. Statistical Analysis and Data Mining. [Link] [ArXiv]

• Tian, X., He, J., & Shi, Y. (2020). Statistical dependence test with Hilbert-Schmidt independence criterion. Journal of Physics: Conference Series. [Link]

PhD Thesis

• Tian, X. (2026). Sparse statistical models for high-dimensional data. Ph.D. Thesis, University of Bath. [Link]